How can a logic of probabilistic factual and counterfactual conditionals look like? Which relationship is there between causation and counterfactuals?

How can we combine probabilistic models of higher-level cognitive processes such as learning or decision making with neuroscientific data in order to gain insight into the underlying mechanisms?

Most of my general interests lie in the areas of psychology, philosophy, mathematics, technology, literature, theatre, music and outdoor activities, and in their intersections. (All of their intersections. If you'd like to discuss Bayesian causal models on top of a mountain or write a song about information privacy, drop me an email!) I write sometimes, too, but mostly in German.